Basics

Where, when, who

Class number: 3763

Time and Place

Tu Th, 7:00 - 8:15
Lindley Hall 102

Instructor

Mike Gasser
Office hours: W 4-5:00, Th 4-5:30, LH230H
Email (please put "B551" in the subject line)

Associate instructor

Shakila Shayan
Office hours: TuTh 5:30-7:00, LH230
Email

Students

Email to the whole class (b551-all AT cs.indiana.edu)

Overview

The purpose of this course is to familiarize students with basic concepts and methods in artificial intelligence. The course is organized around the following topics:

Heuristic search
Representation and reasoning: predicate logic, frames, production systems, resolution theorem proving, uncertainty
Perception and understanding: vision, speech, and/or natural language processing
Planning and action
Learning: connectionist models, symbolic learning, reinforcement learning
Evolutionary computation

Prerequisites

You should have had a data structures course and should be familiar with the Scheme programming language, which we will use for all assignments.

Textbook

Artificial Intelligence: Structures and Strategies for Complex Problem Solving (4th Edition), Luger, George F. Addison-Wesley, 2002

A copy of Luger is on 2-hour reserve in the Swain Library.

Home

Computer.Science@IU \| Fall 2004
B551	Elements of Artificial Intelligence